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Winners of U4C Challenge leverage PrediXcan

Two of the 5 winners of NCI's "Up for a Challenge? (U4C) Stimulating Innovation in Breast Cancer Genetic Epidemiology" leveraged PrediXcan (individual and summary based) approach for their discoveries.

MetaXcan manuscript on bioRxiv

PrediXcan among top 3 in #TBICRI16/methods

We are elated that our PrediXcan paper was chosen one of the top three papers in the category of "Methods for Genetic Discovery" in the "Translational Bioinformatics 2016: The Year in Review" list. This was curated by Russ Altman and the AMIA Student Working Group. Congratulations to everyone who worked hard to get this done. [link]

Now hiring pre and post doctoral candidates

We are looking for a highly motivated quantitative scientist interested in directing their career toward interdisciplinary biomedical research. This is a great time to veer your career into this rapidly growing area since we are facing a shortage of scientists with the analytical and computational background to take advantage of the enormous amount of genomic and health data generated. Two large initiatives Big Data to Knowledge and Precision Medicine by the NIH show the commitment of the US government in investing in these areas.

Invited talk at the ASHG Wed 10/7/11am-1pm

Haky will be giving a talk on MetaXcan in the invited session "Secure, Efficient, and Scalable Computational Genetics via Summary Statistics" at the ASHG meeting in Baltimore (Wednesday, October 07, 2015 from 11am to 1pm).